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Adaptive-Dereverberation-Algorithm-master

于 2020-04-23 发布

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下载积分: 1 下载次数: 7

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代码说明：

说明：基于加权RLS的自适应去混响算法，包括了混响音频的样本和去混响后的样本，对其运行演示听取到语音处理前后会有些一点儿的差异(Adaptive-Dereverberation-Algorithm-master)

文件列表：

Adaptive-Dereverberation-Algorithm-master, 0 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\LICENSE, 1086 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\README.md, 1457 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\config.m, 287 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\demo_rls_ada.m, 1746 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib, 0 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib\%2Butil, 0 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib\%2Butil\fig.m, 439 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib\%2Butil\play.m, 471 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib\%2Butil\plot.m, 357 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib\stftanalysis.m, 1374 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\lib\stftsynthesis.m, 1201 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\rls_ada.m, 3002 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_out, 0 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_out\drv_sample_1ch.wav, 106132 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_out\drv_sample_4ch.wav, 261770 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_out\drv_sample_8ch.wav, 255090 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_sample, 0 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_sample\sample_1ch.wav, 106132 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_sample\sample_4ch.wav, 1026740 , 2019-11-25
Adaptive-Dereverberation-Algorithm-master\wav_sample\sample_8ch.wav, 2045464 , 2019-11-25

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2009-05-12 23:54:11下载

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gongchengjingji
工程经济串讲，关于工程经济自考的资料，对正在自考的人也许有用，所以上传上来啦！(Engineering Economic Chuanjiang, with regard to engineering economy Zikao information on the person being Zikao may be useful, so upload the Laila!)

2010-03-15 13:45:13下载

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说明： The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

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